When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning
arXiv:2510.07517v5 Announce Type: replace
Abstract: Multi-agent debate (MAD) aims to improve large language model (LLM) reasoning by letting multiple agents exchange answers and then aggregate their opinions. Yet recent studies reveal that agents are …